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Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment

Overview of attention for article published in Environmental Health, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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8 news outlets
blogs
1 blog
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9 X users

Citations

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300 Dimensions

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339 Mendeley
Title
Non-monotonic dose-response relationships and endocrine disruptors: a qualitative method of assessment
Published in
Environmental Health, February 2015
DOI 10.1186/1476-069x-14-13
Pubmed ID
Authors

Fabien Lagarde, Claire Beausoleil, Scott M Belcher, Luc P Belzunces, Claude Emond, Michel Guerbet, Christophe Rousselle

Abstract

Experimental studies investigating the effects of endocrine disruptors frequently identify potential unconventional dose-response relationships called non-monotonic dose-response (NMDR) relationships. Standardized approaches for investigating NMDR relationships in a risk assessment context are missing. The aim of this work was to develop criteria for assessing the strength of NMDR relationships. A literature search was conducted to identify published studies that report NMDR relationships with endocrine disruptors. Fifty-one experimental studies that investigated various effects associated with endocrine disruption elicited by many substances were selected. Scoring criteria were applied by adaptation of an approach previously used for identification of hormesis-type dose-response relationships. Out of the 148 NMDR relationships analyzed, 82 were categorized with this method as having a "moderate" to "high" level of plausibility for various effects. Numerous modes of action described in the literature can explain such phenomena. NMDR can arise from numerous molecular mechanisms such as opposing effects induced by multiple receptors differing by their affinity, receptor desensitization, negative feedback with increasing dose, or dose-dependent metabolism modulation. A stepwise decision tree was developed as a tool to standardize the analysis of NMDR relationships observed in the literature with the final aim to use these results in a Risk Assessment purpose. This decision tree was finally applied to studies focused on the effects of bisphenol A.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
France 3 <1%
United States 2 <1%
South Africa 1 <1%
Chile 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 327 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 21%
Student > Master 50 15%
Researcher 39 12%
Student > Bachelor 23 7%
Student > Doctoral Student 21 6%
Other 53 16%
Unknown 81 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 16%
Biochemistry, Genetics and Molecular Biology 39 12%
Environmental Science 39 12%
Pharmacology, Toxicology and Pharmaceutical Science 27 8%
Medicine and Dentistry 27 8%
Other 51 15%
Unknown 103 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2023.
All research outputs
#553,390
of 25,382,250 outputs
Outputs from Environmental Health
#156
of 1,601 outputs
Outputs of similar age
#7,291
of 369,052 outputs
Outputs of similar age from Environmental Health
#4
of 27 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 369,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.